CN110987949A - Cigarette packet package appearance detection method - Google Patents
Cigarette packet package appearance detection method Download PDFInfo
- Publication number
- CN110987949A CN110987949A CN201911346310.8A CN201911346310A CN110987949A CN 110987949 A CN110987949 A CN 110987949A CN 201911346310 A CN201911346310 A CN 201911346310A CN 110987949 A CN110987949 A CN 110987949A
- Authority
- CN
- China
- Prior art keywords
- cigarette packet
- detection
- standard
- cigarette
- package appearance
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 80
- 235000019504 cigarettes Nutrition 0.000 title claims abstract description 67
- 238000000034 method Methods 0.000 claims abstract description 14
- 241000208125 Nicotiana Species 0.000 claims abstract description 10
- 235000002637 Nicotiana tabacum Nutrition 0.000 claims abstract description 10
- 230000008569 process Effects 0.000 claims abstract description 9
- 230000007246 mechanism Effects 0.000 claims abstract description 4
- 238000004806 packaging method and process Methods 0.000 claims description 12
- 239000003086 colorant Substances 0.000 claims description 4
- 239000000428 dust Substances 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 239000013307 optical fiber Substances 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 claims 1
- 238000000926 separation method Methods 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 3
- 239000005022 packaging material Substances 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 239000000123 paper Substances 0.000 description 4
- 230000007547 defect Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 239000005030 aluminium foil Substances 0.000 description 1
- 238000010835 comparative analysis Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000004033 plastic Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/8901—Optical details; Scanning details
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
- B07C5/3422—Sorting according to other particular properties according to optical properties, e.g. colour using video scanning devices, e.g. TV-cameras
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/892—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the flaw, defect or object feature examined
- G01N21/898—Irregularities in textured or patterned surfaces, e.g. textiles, wood
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8883—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges involving the calculation of gauges, generating models
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N2021/8909—Scan signal processing specially adapted for inspection of running sheets
Abstract
The invention relates to the technical field of package detection, in particular to a cigarette packet package appearance detection method, which comprises the steps of collecting and storing appearance characteristics of standard packages, detecting at least 3 standard cigarette packets normally, collecting to obtain standard parameters, and storing the standard parameters in a memory; the method comprises the steps of carrying out on-line comprehensive detection on cigarette packets to obtain detection data of all points of the cigarette packets; judging the detection result, comparing the similarity of the tobacco bale and the standard parameters with the image position coordinate data, and judging that the judgment is within the allowable tolerance; rejecting the unqualified pieces, and rejecting the unqualified pieces through a self-rejecting mechanism. Compared with the prior art, the invention has the beneficial effects that: the detection result is comprehensive and accurate, and the system applies a comprehensive detection technology to improve the accuracy of the detection result; the operation is simple, complex configuration is not needed, and manual intervention is not needed in the whole process; the reflective packaging material can be detected, the cigarette packet is uniformly illuminated by using a diffuse reflection mode, and the problems of corner shadow and random reflection are thoroughly eliminated.
Description
Technical Field
The invention relates to the technical field of package detection, in particular to a method for detecting the appearance of cigarette packet packages.
Background
With the continuous progress of science and technology, the tobacco industry has higher and higher requirements on the cigarette packet packaging quality detection, and new challenges are provided for detection indexes, detection speed, six-surface full detection, reliability and the like. A lot of methods for detecting the package appearance based on the imaging principle exist at home and abroad, but the detection methods have the problems of low detection speed, incapability of detecting a reflective packaging material, complex arrangement, inconvenience in adjustment, instability, low detection accuracy and the like.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides the cigarette packet package appearance detection method which is simple to use, high in detection speed and reliable in detection result.
In order to achieve the purpose, the invention adopts the following technical scheme:
a cigarette packet package appearance detection method comprises the following steps:
acquiring and storing appearance characteristics of standard packages, detecting normal passing of at least 3 standard cigarette packets, acquiring R, G, B three primary color characteristic data and image position coordinate data of all points of 6 surfaces of the standard cigarette packets by at least 4 cameras to obtain standard parameters, and storing the standard parameters in a memory;
step two, setting a judgment standard, and setting R, G, B three primary color feature data similarity and an allowable tolerance of image position coordinate data of all points on 6 surfaces of the cigarette packet according to the cigarette packet package appearance detection requirement;
thirdly, overall detection of the cigarette packet is carried out on line, when the cigarette packet passes through the detection unit at a high speed in the production process, the LED light source is controlled to flash, a camera is exposed to light and then shoots to collect a packaging appearance image of the cigarette packet, the packaging appearance image is transmitted to an industrial personal computer, and after the processor receives the image, R, G, B three primary color characteristic data and image position coordinate data of all points on six surfaces of the packaging appearance image are extracted to obtain detection data of all points of the cigarette packet;
step four, judging the detection result, comparing the detection data of all points of the cigarette packet obtained in the step three with the standard parameters obtained in the step one by the processor, judging that the cigarette packet package appearance is qualified if the similarity of the characteristic data of the three primary colors of R, G, B and the coordinate data of the image position of all points are within the allowable tolerance set in the step two, otherwise judging that the cigarette packet package appearance is unqualified, and sending an instruction of eliminating unqualified parts;
and fifthly, rejecting unqualified parts, wherein after the control panel receives the unqualified part rejecting instruction sent in the fourth step, the unqualified parts are rejected by immediately controlling a high-speed rejection valve through a self-rejection mechanism according to the detected tobacco bale.
Further, the acquisition and storage of the appearance characteristics of the standard package further comprises the steps of automatically correcting standard parameters according to the change of light and dust of a detection system in the subsequent on-line comprehensive detection of the cigarette packet, and judging results according to the corrected standard parameters in the detection result judgment process.
Further, 4 standard cameras are arranged, the cameras are high-precision color cameras, and each camera can shoot 2 faces of the cigarette packet.
Furthermore, the LED light source is a time-sharing exposure stroboscopic LED light source adopting a shadowless lamp type design.
Furthermore, in the overall detection process of the cigarette packets, the cigarette packets are separated by the separator in an accelerating way, so that only one cigarette packet appears in an image when a camera is used for photographing and acquiring a package appearance image of the cigarette packet after exposure.
Further, the detection method also comprises a fault alarm step, when light source faults, optical fiber faults, excessive rejection, detection interruption and camera abnormity occur, the processor sends out an alarm signal and controls the alarm to alarm.
Compared with the prior art, the invention has the beneficial effects that:
1. the system applies a comprehensive detection technology, not only can completely cover the traditional detection points, but also can extract the characteristics of all the points of the image and carry out comparative analysis by dividing R, G, B primary colors, thereby finding out the defect part and improving the accuracy of the detection result;
2. the method is simple to operate, complex configuration is not needed, the automatic extraction of appearance characteristics can be completed only by normally passing a plurality of standard cigarette packets, and in the subsequent on-line detection process, the system can continuously optimize and correct parameters, increase or decrease the parameters, so that the optimal configuration is achieved, the false rejection is reduced, and the whole process can be effective without manual intervention;
3. the invention adopts a time-sharing exposure stroboscopic LED light source with shadowless lamp design, uniformly illuminates cigarette packets by diffuse reflection, thoroughly eliminates corner shadow and random reflection, avoids detection dead angles, ensures that each detection surface is clear and visible, can effectively detect the appearances of small bags made of various packaging materials, including reflective plastic surface packaging, integral laser packaging paper and the like, and has wide application range.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
A cigarette packet package appearance detection method comprises the following steps:
acquiring and storing appearance characteristics of standard packages, detecting normal passing of at least 3 standard cigarette packets, acquiring R, G, B three primary color characteristic data and image position coordinate data of all points of 6 surfaces of the standard cigarette packets by at least 4 cameras to obtain standard parameters, and storing the standard parameters in a memory;
step two, setting a judgment standard, and setting R, G, B three primary color feature data similarity and an allowable tolerance of image position coordinate data of all points on 6 surfaces of the cigarette packet according to the cigarette packet package appearance detection requirement;
thirdly, overall detection of the cigarette packet is carried out on line, when the cigarette packet passes through the detection unit at a high speed in the production process, the LED light source is controlled to flash, a camera is exposed to light and then shoots to collect a packaging appearance image of the cigarette packet, the packaging appearance image is transmitted to an industrial personal computer, and after the processor receives the image, R, G, B three primary color characteristic data and image position coordinate data of all points on six surfaces of the packaging appearance image are extracted to obtain detection data of all points of the cigarette packet;
step four, judging the detection result, comparing the detection data of all points of the cigarette packet obtained in the step three with the standard parameters obtained in the step one by the processor, judging that the cigarette packet package appearance is qualified if the similarity of the characteristic data of the three primary colors of R, G, B and the coordinate data of the image position of all points are within the allowable tolerance set in the step two, otherwise judging that the cigarette packet package appearance is unqualified, and sending an instruction of eliminating unqualified parts;
and fifthly, rejecting unqualified parts, wherein after the control panel receives the unqualified part rejecting instruction sent in the fourth step, the unqualified parts are rejected by immediately controlling a high-speed rejection valve through a self-rejection mechanism according to the detected tobacco bale.
Preferably, the acquisition and storage of the appearance characteristics of the standard package further comprises the steps of automatically correcting standard parameters according to the change of light and dust of a detection system in the subsequent on-line comprehensive detection of the cigarette packet, and judging results according to the corrected standard parameters in the detection result judgment process; the number of the standard cameras is 4, the cameras are high-precision color cameras, and each camera can shoot 2 faces of the cigarette packet; the LED light source is a time-sharing exposure stroboscopic LED light source adopting a shadowless lamp type design; in the on-line tobacco bale overall detection process, the tobacco bale is separated in an accelerating way through the separating device, so that only one tobacco bale appears in an image when a camera is exposed to photograph to acquire a package appearance image of the tobacco bale; the detection method also comprises a fault alarm step, wherein when light source faults, optical fiber faults, excessive rejection, detection interruption and camera abnormity occur, the processor sends out an alarm signal and controls an alarm to alarm.
The types of defects that can be detected by the present invention include:
| serial number | Type (I) | Index mark |
| 1 | The shell is damaged, dropped, deformed and torn | The detection area is larger than 2mm multiplied by 2mm |
| 2 | The upper cover is damaged, dropped, deformed and torn | The detection area is larger than 2mm multiplied by 2mm |
| 3 | Open and oblique small ear | Can be detected by stretching for 1mm |
| 4 | Missing, unclear, off-set, color difference of brand pattern | Can be detected by offsetting 1mm |
| 5 | Cardboard and aluminium foil paper exposure | The detection area is larger than 2mm multiplied by 2mm |
| 6 | Dislocation of package | Can be detected by dislocation of 1mm |
| 7 | Small bag end face deformation | The detection area is larger than 2mm multiplied by 2mm |
| 8 | Foreign matter and stain | The detection area is larger than 2mm multiplied by 2mm |
| 9 | Reverse angle and fall-off of seal | The negative angle is 1mm, and the detection can be carried out |
| 10 | Wrong number plate | Mixing other brands |
| 11 | Without wrapping paper | |
| 12 | Wrapping paper | |
| 13 | Tobacco bale inversion |
The embodiment shows that the invention has the advantages of wide detection range, simple operation, high detection precision and high detection accuracy.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications and variations that can be made by the present invention in the specification or directly or indirectly applied to other related technical fields are included in the scope of the present invention.
Claims (6)
1. A cigarette packet package appearance detection method is characterized by comprising the following steps:
acquiring and storing appearance characteristics of standard packages, detecting normal passing of at least 3 standard cigarette packets, acquiring R, G, B three primary color characteristic data and image position coordinate data of all points of 6 surfaces of the standard cigarette packets by at least 4 cameras to obtain standard parameters, and storing the standard parameters in a memory;
step two, setting a judgment standard, and setting R, G, B three primary color feature data similarity and an allowable tolerance of image position coordinate data of all points on 6 surfaces of the cigarette packet according to the cigarette packet package appearance detection requirement;
thirdly, overall detection of the cigarette packet is carried out on line, when the cigarette packet passes through the detection unit at a high speed in the production process, the LED light source is controlled to flash, a camera is exposed to light and then shoots to collect a packaging appearance image of the cigarette packet, the packaging appearance image is transmitted to an industrial personal computer, and after the processor receives the image, R, G, B three primary color characteristic data and image position coordinate data of all points on six surfaces of the packaging appearance image are extracted to obtain detection data of all points of the cigarette packet;
step four, judging the detection result, comparing the detection data of all points of the cigarette packet obtained in the step three with the standard parameters obtained in the step one by the processor, judging that the cigarette packet package appearance is qualified if the similarity of the characteristic data of the three primary colors of R, G, B and the coordinate data of the image position of all points are within the allowable tolerance set in the step two, otherwise judging that the cigarette packet package appearance is unqualified, and sending an instruction of eliminating unqualified parts;
and fifthly, rejecting unqualified parts, wherein after the control panel receives the unqualified part rejecting instruction sent in the fourth step, the unqualified parts are rejected by immediately controlling a high-speed rejection valve through a self-rejection mechanism according to the detected tobacco bale.
2. The cigarette packet package appearance detection method according to claim 1, wherein the collection and storage of the standard package appearance characteristics further comprises automatically correcting standard parameters according to changes of light and dust of a detection system in subsequent on-line cigarette packet overall detection, and performing result judgment according to the corrected standard parameters in a detection result judgment process.
3. The cigarette packet package appearance detection method according to claim 1, wherein 4 standard cameras are provided, the cameras are high-precision color cameras, and each camera can shoot 2 faces of a cigarette packet.
4. The cigarette packet package appearance detection method according to claim 1, characterized in that the LED light source is a time-sharing exposure stroboscopic LED light source adopting a shadowless lamp type design.
5. The cigarette packet package appearance detection method according to claim 1, wherein in the on-line cigarette packet overall detection process, the cigarette packets are separated in an accelerated manner by the separation device, so that only one cigarette packet appears in an image when a camera is exposed to photograph to acquire a package appearance image of the cigarette packet.
6. The cigarette packet package appearance detection method according to claim 1, characterized in that the detection method further comprises a fault alarm step, and when a light source fault, an optical fiber fault, excessive rejection, detection interruption and camera abnormality occur, the processor sends out an alarm signal and controls an alarm to alarm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911346310.8A CN110987949A (en) | 2019-12-24 | 2019-12-24 | Cigarette packet package appearance detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911346310.8A CN110987949A (en) | 2019-12-24 | 2019-12-24 | Cigarette packet package appearance detection method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110987949A true CN110987949A (en) | 2020-04-10 |
Family
ID=70074858
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911346310.8A Pending CN110987949A (en) | 2019-12-24 | 2019-12-24 | Cigarette packet package appearance detection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110987949A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111738963A (en) * | 2020-07-27 | 2020-10-02 | 南京大树智能科技股份有限公司 | Tobacco bale package appearance detection method based on deep self-learning |
| CN114348368A (en) * | 2022-01-29 | 2022-04-15 | 红云红河烟草(集团)有限责任公司 | Method and system for evaluating soft package cigarette package forming quality |
| CN116433097A (en) * | 2023-04-19 | 2023-07-14 | 北京市永康药业有限公司 | Injection packaging quality detection method and system |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006153633A (en) * | 2004-11-29 | 2006-06-15 | Mitsubishi Electric Engineering Co Ltd | Flaw determining device of matter to be inspected |
| CN101853393A (en) * | 2010-04-22 | 2010-10-06 | 深圳市鼎为科技有限公司 | Automatic production and automatic learning method of machine vision system detection algorithm |
| CN202414235U (en) * | 2012-01-20 | 2012-09-05 | 大树智能科技(南京)有限公司 | Comprehensive appearance quality on-line detecting system for cigarette packet |
| CN202783856U (en) * | 2012-12-04 | 2013-03-13 | 上海优汉实业发展有限公司 | High-speed comprehensive cigarette detecting machine |
| CN203365337U (en) * | 2013-07-22 | 2013-12-25 | 上海坤大信息技术有限公司 | Appearance quality detection device for cigarette cartons |
| CN106733729A (en) * | 2017-01-25 | 2017-05-31 | 红塔烟草(集团)有限责任公司 | Image detection device and bar cigarette image detection device |
| CN107156902A (en) * | 2017-07-07 | 2017-09-15 | 南京大树智能科技股份有限公司 | A kind of cigarette presentation quality on-line measuring device |
| CN108454981A (en) * | 2018-03-21 | 2018-08-28 | 红云红河烟草(集团)有限责任公司 | A kind of high-speed packaging machine goes out pig's tongue cigarette apparent visual detection device |
| CN109345513A (en) * | 2018-09-13 | 2019-02-15 | 红云红河烟草(集团)有限责任公司 | A kind of cigarette package defect inspection method with cigarette packet Attitude Calculation |
| CN109754003A (en) * | 2018-12-20 | 2019-05-14 | 上海裕芯电子科技有限公司 | Intelligent robot vision technique application detection system and method based on deep learning |
-
2019
- 2019-12-24 CN CN201911346310.8A patent/CN110987949A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006153633A (en) * | 2004-11-29 | 2006-06-15 | Mitsubishi Electric Engineering Co Ltd | Flaw determining device of matter to be inspected |
| CN101853393A (en) * | 2010-04-22 | 2010-10-06 | 深圳市鼎为科技有限公司 | Automatic production and automatic learning method of machine vision system detection algorithm |
| CN202414235U (en) * | 2012-01-20 | 2012-09-05 | 大树智能科技(南京)有限公司 | Comprehensive appearance quality on-line detecting system for cigarette packet |
| CN202783856U (en) * | 2012-12-04 | 2013-03-13 | 上海优汉实业发展有限公司 | High-speed comprehensive cigarette detecting machine |
| CN203365337U (en) * | 2013-07-22 | 2013-12-25 | 上海坤大信息技术有限公司 | Appearance quality detection device for cigarette cartons |
| CN106733729A (en) * | 2017-01-25 | 2017-05-31 | 红塔烟草(集团)有限责任公司 | Image detection device and bar cigarette image detection device |
| CN107156902A (en) * | 2017-07-07 | 2017-09-15 | 南京大树智能科技股份有限公司 | A kind of cigarette presentation quality on-line measuring device |
| CN108454981A (en) * | 2018-03-21 | 2018-08-28 | 红云红河烟草(集团)有限责任公司 | A kind of high-speed packaging machine goes out pig's tongue cigarette apparent visual detection device |
| CN109345513A (en) * | 2018-09-13 | 2019-02-15 | 红云红河烟草(集团)有限责任公司 | A kind of cigarette package defect inspection method with cigarette packet Attitude Calculation |
| CN109754003A (en) * | 2018-12-20 | 2019-05-14 | 上海裕芯电子科技有限公司 | Intelligent robot vision technique application detection system and method based on deep learning |
Non-Patent Citations (2)
| Title |
|---|
| 冯玉: "视觉检测系统在烟草包装机中的应用", 《包装工程》 * |
| 苏健凌等: "机器视觉技术在烟草行业的应用", 《广西质量监督导报》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111738963A (en) * | 2020-07-27 | 2020-10-02 | 南京大树智能科技股份有限公司 | Tobacco bale package appearance detection method based on deep self-learning |
| CN114348368A (en) * | 2022-01-29 | 2022-04-15 | 红云红河烟草(集团)有限责任公司 | Method and system for evaluating soft package cigarette package forming quality |
| CN114348368B (en) * | 2022-01-29 | 2023-08-15 | 红云红河烟草(集团)有限责任公司 | Method and system for evaluating soft package cigarette package forming quality |
| CN116433097A (en) * | 2023-04-19 | 2023-07-14 | 北京市永康药业有限公司 | Injection packaging quality detection method and system |
| CN116433097B (en) * | 2023-04-19 | 2023-11-21 | 北京市永康药业有限公司 | Injection packaging quality detection method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110987949A (en) | Cigarette packet package appearance detection method | |
| CN102218406B (en) | Intelligent detection device of defects of mobile phone outer shell based on machine vision | |
| CN102095733B (en) | Machine vision-based intelligent detection method for surface defect of bottle cap | |
| CN107052086A (en) | Stamping parts surface defect detection apparatus and detection method based on 3D vision | |
| CN206981462U (en) | Stamping parts surface defect detection apparatus based on 3D vision | |
| CN106896110A (en) | Product quality detection means and method based on monocular camera machine vision | |
| CN105548186A (en) | Visual inspection method for coated paper | |
| CN112067617A (en) | Automatic detection equipment and detection method for quality of finished product cigarette | |
| WO2020103310A1 (en) | Mask defect detection device and method | |
| JP5419189B2 (en) | Cigarette inspection device | |
| CN214638332U (en) | Detection device for detecting defects on bottle cap | |
| JPWO2011064857A1 (en) | Cigarette inspection device | |
| CN111000286A (en) | Anti-interference cigarette appearance quality online detection device and method | |
| CN209051634U (en) | A kind of packing machine appearance inspection device for cigarette packets | |
| CN204202647U (en) | A kind of device adopting catoptron to assist workprint to test | |
| CN201821892U (en) | Online cigarette detector | |
| ITBO20120284A1 (en) | METHOD OF INSPECTING A PRODUCT IN A PACKAGING MACHINE. | |
| CN211292638U (en) | Quick automatic checkout device of pen tube printing | |
| CN109596627B (en) | Printed product detection system that single-camera multi-angle detected | |
| CN113693268A (en) | Cigarette appearance online detection device and detection method thereof | |
| CN209894719U (en) | Detect detection machine of lithium-ion battery pole piece coating layer | |
| CN106383124A (en) | Capacitor aluminum foil surface defect visual on-line inspection system and method | |
| JPH10267865A (en) | Method and device for inspecting ptp sheet | |
| CN114018947B (en) | High reflection of light plastic bottle lid surface flaw detection device | |
| ITBO20120282A1 (en) | METHOD OF INSPECTING A PRODUCT IN A PACKAGING MACHINE. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200410 |
|
| RJ01 | Rejection of invention patent application after publication |